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ML
1998
ACM
101views Machine Learning» more  ML 1998»
14 years 9 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
ICML
2000
IEEE
15 years 10 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
ACSAC
2007
IEEE
15 years 3 months ago
Retrofitting the IBM POWER Hypervisor to Support Mandatory Access Control
Server virtualization more readily enables the collocation of disparate workloads on a shared physical platform. When employed on systems across a data center, the result can be a...
Enriquillo Valdez, Reiner Sailer, Ronald Perez
BMCBI
2008
136views more  BMCBI 2008»
14 years 9 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
CCGRID
2009
IEEE
15 years 1 months ago
Experiment and Workflow Management Using Cyberaide Shell
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid compu...
Gregor von Laszewski, Andrew J. Younge, Xi He, Kum...